Andrew Ruth, Stimson Roland H
University/ British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47, Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom.
Curr Opin Endocr Metab Res. 2022 Oct;26:100381. doi: 10.1016/j.coemr.2022.100381.
Hormones regulate metabolic homeostasis through interlinked dynamic networks of proteins and small molecular weight metabolites, and state-of-the-art chemical technologies have been developed to decipher these complex pathways. Stable-isotope tracers have largely replaced radiotracers to measure flux in humans, building on advances in nuclear magnetic resonance spectroscopy and mass spectrometry. These technologies are now being applied to localise molecules within tissues. Radiotracers are still highly valuable both preclinically and in 3D imaging by positron emission tomography. The coming of age of vibrational spectroscopy in conjunction with stable-isotope tracing offers detailed cellular insights to map complex biological processes. Together with computational modelling, these approaches are poised to coalesce into multi-modal platforms to provide hitherto inaccessible dynamic and spatial insights into endocrine signalling.
激素通过蛋白质和小分子代谢物相互关联的动态网络调节代谢稳态，并且已经开发出先进的化学技术来解析这些复杂的途径。基于核磁共振光谱和质谱技术的进步，稳定同位素示踪剂已在很大程度上取代放射性示踪剂来测量人体中的通量。这些技术现在正被应用于在组织内定位分子。放射性示踪剂在临床前研究以及正电子发射断层扫描的三维成像中仍然具有很高的价值。振动光谱与稳定同位素示踪相结合的时代到来，为绘制复杂的生物过程提供了详细的细胞层面见解。与计算建模一起，这些方法有望融合成多模态平台，以提供迄今为止难以获得的关于内分泌信号传导的动态和空间见解。
